Special Issue "New Paradigms and Trends in Quantitative Ecology"
A special issue of Mathematics (ISSN 2227-7390).
Deadline for manuscript submissions: closed (31 December 2018).
Interests: vegetation ecology; quantitative ecology; landscape ecology; natural resource management; invasive species; plant ecology; remote sensing
Science relies on logical thinking and on quantifying the relationships between the variables describing the objects under study. Therefore, science cannot be free of mathematics, and it is not surprising that within ecology, a subdiscipline called “Quantitative ecology” started to take shape through the methodological papers addressed to solve the problems of quantifying ecological relationships and communicating the results of the ecological studies. It is not surprising that “Quantitative Ecology” was and is dealing with more or less the same mathematical tools used in “complex systems analysis”, ecological systems being inherently complex: many variables cannot be measured with precision, and sampling and data collection always have a certain amount of uncertainty. In Ecology, mathematical analytical models can be applied in limited circumstances, leaving room for stochastic-statistical models and data analytical techniques that are often considered out of the “orthodox” statistical practice. Mathematics is always present in quantitative ecology, but “Quantitative Ecology” is not synonymous with “Mathematical Ecology”, nor with “Statistical Ecology”—two other well-known disciplines that are growing in the ecological scientific universe. “Quantitative ecology” could rather be considered synonymous with “Numerical Ecology”, which looks to include everything that has to deal with numbers. However, this is almost true, but not exactly true. We can say that “Quantitative Ecology” is not to be seen as a set of mathematical (logical, analytical, numerical) and statistical methods and tools, but rather as an attitude that looks for mathematical methods suitable to quantify specific phenomena and relationships. The aim of “Mathematical Ecology“ and “Statistical Ecology” should be different and addressed to explain why the suggested and or the used methods in Quantitative Ecology are supposed to be useful and to show how certain methods and models could be applied to quantify and model ecological relationships. This Special Issues assembles views on “Quantitative Ecology” as a vehicle to mathematical and statistical applications in Ecology.
Prof. Enrico Feoli
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- new perspectives
- landscapes and ecosystems
- modelling at different scales
- multivariate analysis
- data structuring
- quantum ecology
- time series
- successional trends
- communities and coevolution
- communities and convergent evolution
- ecological impacts of globalization
- fragmentation and fractals
- diversity and classification
- food webs
- spatial patterns
- fuzzy reasoning